Journal of Jilin University Science Edition

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Single Image Dehazing Method Based on Filters

WANG Yonghu, GUAN Qingji, LI Jinsong, QI Miao   

  1. School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China
  • Received:2013-11-22 Online:2014-05-26 Published:2014-08-27
  • Contact: QI Miao E-mail:qim801@nenu.edu.cn

Abstract:

This paper introduces a novel single image dehazing method based on filters. Firstly, in order to maintain a good edge smooth texture, the initial atmospheric scattering light is estimated via bilateral filtering. Then, the initial atmospheric scattering light is refined via the adaptive median filter to keep sharp edges, smooth texture, and actual depth information. Next, the atmospheric light is obtained by the hierarchical searching method of quadtree subdivision. Finally, the dehazed image is restored by solving the atmosphere attenuation model. Compared with the results obtained by several existing classical dehazing methods, the experimental results show that the dehazed image by our proposed method is closer to the real scene image. Especially, it exhibits obvious superiority in dehazing regions with rich texture and distant scene.

Key words: image dehazing, bilateral filtering, adaptive median filter, quadtree subdivision

CLC Number: 

  • TP391.4